ArticlePloS one2017
Advances in the analysis of complex food matrices: Species identification in surimi-based products using Next Generation Sequencing technologies.
Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 73 citations in OpenAlex.
- A validated DNA metabarcoding approach for routine authentication of processed bivalves.Food chemistry. Molecular sciences · 2026Article
- Refinement and application of 12SCurrent research in food science · 2026Article
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- Development of a DNA Metabarcoding Method for the Identification of Crustaceans (Foods (Basel, Switzerland) · 2025Article
- A Double-Gene Metabarcoding Approach for the Authentication of Shrimp Surimi-Based Products.Genes · 2025Article
- Article
- Decoding Seafood: Multi-Marker Metabarcoding for Authenticating Processed Seafood.Foods (Basel, Switzerland) · 2024Article
- Rapid analysis technologies with chemometrics for food authenticity field: A review.Current research in food science · 2024Review
- Molecular Barcoding: A Tool to Guarantee Correct Seafood Labelling and Quality and Preserve the Conservation of Endangered Species.Foods (Basel, Switzerland) · 2023Review
- DNA metabarcoding for identification of species used in fish burgers.Italian journal of food safety · 2022Article
- Development of a DNA Metabarcoding Method for the Identification of Bivalve Species in Seafood Products.Foods (Basel, Switzerland) · 2021Article
- Detecting mislabelling in meat products using PCR-FINS.Journal of food science and technology · 2020Article
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The Next Generation Sequencing (NGS) technologies represent a turning point in the food inspection field, particularly for species identification in matrices composed of a blend of two or more species. In this study NGS technologies were applied by testing the usefulness of the Ion Torrent Personal Genome Machine (PGM) in seafood traceability. Sixteen commercial surimi samples produced both in EU and non-EU countries were analysed. Libraries were prepared using a universal primer pair able to amplify a short 16SrRNA fragment from a wide range of fish and cephalopod species. The mislabelling rate of the samples was also evaluated. Overall, DNA from 13 families, 19 genera and 16 species of fish, and from 3 families, 3 genera and 3 species of cephalopods was found with the analysis. Samples produced in non-EU countries exhibited a higher variability in their composition. 37.5% of the surimi products were found to be mislabelled. Among them, 25% voluntary declared a species different from those identified and 25% (all produced in non-EU countries) did not report the presence of molluscs on the label, posing a potential health threat for allergic consumers. The use of vulnerable species was also proved. Although the protocol should be further optimized, PGM platform proved to be a useful tool for the analysis of complex, highly processed products.
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